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---
license: mit
language:
- tt
tags:
- tt
- tatar
- books
- monocorpus
pretty_name: Collection of books in Tatar language in Cyrillic script
---
# Tatar Books Collection (Cyrillic) 📚
This dataset, hosted by [Yasalma](https://huggingface.co/neurotatarlar), is a curated collection of 497 Tatar books in Parquet format. The texts are in Cyrillic script, making this dataset ideal for linguistic research, language modeling, and other NLP applications in the Tatar language.
## Dataset Details
- **Language**: Tatar (Cyrillic script)
- **Format**: Two Parquet files
- Original text
- Markdown-formatted text
- **Columns**:
- train-00000-of-00001.parquet:
- `file_name`: The original name of each book’s file
- `text`: The full content of each book in raw text
- lib-books.parquet:
- `text`: The full content of each book in Markdown format
- **Important Note**: The books in the two files do not overlap; they are entirely distinct collections.
- **Total Number of Books**: 497
- **Total Size**: 180 MB
- **License**: MIT
### Structure
The dataset is organized as follows:
- **train-00000-of-00001.parquet**: Each row represents an individual Tatar book, with columns for the book’s filename (`file_name`) and its content in raw text (`text`).
- **lib-books.parquet**: Each row represents an individual Tatar book, with single column in Markdown format(`text`).
All links to images have been removed from the Markdown text to ensure compatibility and simplify processing.
## Potential Use Cases
- **Language Modeling**: Train language models specifically for Tatar in Cyrillic script.
- **Markdown Processing**: Use Markdown-formatted text for specific NLP applications, such as HTML rendering or structured content analysis.
- **Machine Translation**: Use the dataset for translation tasks.
- **Linguistic Research**: Study linguistic structures, grammar, and vocabulary in Tatar.
## Usage
To load the dataset using Hugging Face’s `datasets` library:
```python
from datasets import load_dataset
dataset = load_dataset("neurotatarlar/tt-books-cyrillic")
```
## Contributions and Acknowledgements
This dataset is maintained by the Yasalma team. Contributions, feedback, and suggestions are welcome to improve and expand the dataset. |